Tool Demos & Experiments

This project analyzes news articles on data science, machine learning, and AI to uncover factors influencing project success. It detects major topics, identifies reasons for failures, suggests corrective actions, and visualizes sentiment changes over time. The project explores emerging technologies, offers recommendations for improving data science

This project implements an AI chatbot that provides personalized trading recommendations using Bayesian networks. Through natural conversation, users construct a custom Bayesian network tailored to their trading scenario. The chatbot integrates real-time financial data to estimate probabilities and perform inferences ,resulting in valuable insights

Implementation of the PyTorch version of the Weather Deep Learning Model Zoo

This project provides three end-to-end multi-agent chatbot examples built on LangGraph and LangChain, showcasing both centralized “Supervisor” and decentralized “Swarm” coordination patterns. Included are a voice-enabled customer support bot, a doctor appointment scheduler and a booking workflow template—each configurable via `.env` and `langgraph

This project provides an overview on how time series can be used to analyze carbon emissions

Generating realistic drum music using LSTM neural networks trained on rock-style MIDI drum performances. Overcoming repetitive patterns for diverse and genre-specific compositions.

The "TwitterEducationAnalysis" project assesses Twitter's credibility as an information source for education trends. It analyzes tweet volumes, user profiles, and geographical distribution to determine emerging topics and the reliability of Twitterers.